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Very cool! Curious about the technical details of the LLM side. Can't imagine this is cheap to run. Tiny suggestion: the timestamp in the generated text block
by freetonik 3y ago
Very cool! Curious about the technical details of the LLM side. Can't imagine this is cheap to run.
Tiny suggestion: the timestamp in the generated text block could link to the corresponding timestamp in the video.
- evanreichard 3y agoI have a similar (less polished) side project I threw together in a weekend [0][1]. I use ChatGPT's API and it costs ~0.5c / article generated. So IMO very reasonable. [0] https://gitea.va.reichard.io/evan/VReader/src/branch/master/vreader/oai.py#L7-L11 https://gitea.va.reichard.io/evan/VReader/src/branch/master/... [1] https://vreader.va.reichard.io/ https://vreader.va.reichard.io/
- klaussilveira 3y agoIt depends. If it is using YouTube's transcript API, it shouldn't be that bad. The problem with that is that it tends to mess up when there are multiple people in the video.
- __jonas 3y agoWouldn't the expensive part of this be the LLM summary, not the video transcription? I can do transcription pretty easily with my low end graphics card and a fast version of whisper. I was wondering though, if this uses the YouTube transcript if available, and falls back to do the transcription itself if not.